Building a Digital Respiratory Disease Framework for COPD management in Central Appalachia

为阿巴拉契亚中部的慢性阻塞性肺病管理建立数字呼吸系统疾病框架

基本信息

  • 批准号:
    10480681
  • 负责人:
  • 金额:
    $ 25.95万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-26 至 2023-11-30
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY/ABSTRACT Compared to urban residents, rural communities have higher rates of chronic obstructive pulmonary disease (COPD) with worse disease control, resulting in higher rates of morbidity and mortality. In general, rural residents suffer from higher poverty and uninsured rates, further compounded by geographic isolation and limited access to quality healthcare. This and other social factors have resulted in higher incidence and worse outcomes of nearly every chronic disease. Telehealth holds promise to address these challenges and expand access to specialist care in these communities, but qualitative telehealth visits often lack necessary patient data for physicians to make informed management decisions. Telemedicine is also often hindered by limited broadband access in rural areas. Wearable technologies for remote monitoring suffer similar limitations, and, due to cost and burdensome daily engagement requirements, lead to poor adherence rates in an older, sicker population. To address these challenges, Medentum is developing an affordable and accessible, multi-functional, home-use device featuring a camera, low-cost sensors (temperature, pulse oximeter) and a digital stethoscope. A companion phone application allows the recording of demographics, sociocultural data, medical history, and symptoms, and guides the patient to collect their biometric readings with the handheld device. Without the necessity of broadband, the patient can transmit their information securely to a remote physician/chronic disease specialist who can make a diagnosis and treatment plan. For this SBIR, Medentum will adapt its device and software platform for respiratory disease, layering it with artificial intelligence (AI) algorithms, to create a digital respiratory disease framework (DRDF) that empowers self-management of COPD. The aims of this SBIR are to 1) study the usability and feasibility of this COPD respiratory framework in a rural Central Appalachian population of 75 patients in Southwest Virginia and 2) build preliminary AI algorithms that autonomously predict COPD exacerbation risk by analyzing low burden variables including risk factors (social, behavioral, environmental), symptoms, COPD Assessment tests, and device biometrics (temperature, pulse, oxygen saturation, respiration rate and breath sounds). In Phase II, the platform will incorporate smart triggers that will alert patients if certain environmental risk factors are met, prompting them to engage with the platform. The smart algorithms will then automatically predict their COPD exacerbation risk, ultimately triaging them to appropriate treatment. Predicting and pre-empting disease exacerbation by facilitating early connections to medical providers for prompt and effective treatment will have an enormous impact on health outcomes and treatment costs for rural COPD patients. Ultimately, this platform will augment COPD self-management, promote preventive respiratory care, and disseminate evidence-based COPD treatments, all designed to reduce the significant health disparities in a remote, underserved Central Appalachian population with worse respiratory outcomes.
项目总结/文摘

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

STARLA KISER其他文献

STARLA KISER的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似海外基金

Investigating the Adoption, Actual Usage, and Outcomes of Enterprise Collaboration Systems in Remote Work Settings.
调查远程工作环境中企业协作系统的采用、实际使用和结果。
  • 批准号:
    24K16436
  • 财政年份:
    2024
  • 资助金额:
    $ 25.95万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
WELL-CALF: optimising accuracy for commercial adoption
WELL-CALF:优化商业采用的准确性
  • 批准号:
    10093543
  • 财政年份:
    2024
  • 资助金额:
    $ 25.95万
  • 项目类别:
    Collaborative R&D
Unraveling the Dynamics of International Accounting: Exploring the Impact of IFRS Adoption on Firms' Financial Reporting and Business Strategies
揭示国际会计的动态:探索采用 IFRS 对公司财务报告和业务战略的影响
  • 批准号:
    24K16488
  • 财政年份:
    2024
  • 资助金额:
    $ 25.95万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10107647
  • 财政年份:
    2024
  • 资助金额:
    $ 25.95万
  • 项目类别:
    EU-Funded
Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework
评估电动汽车采用对城市能源转型的协调:地理空间机器学习框架
  • 批准号:
    24K20973
  • 财政年份:
    2024
  • 资助金额:
    $ 25.95万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10106221
  • 财政年份:
    2024
  • 资助金额:
    $ 25.95万
  • 项目类别:
    EU-Funded
De-Adoption Beta-Blockers in patients with stable ischemic heart disease without REduced LV ejection fraction, ongoing Ischemia, or Arrhythmias: a randomized Trial with blinded Endpoints (ABbreviate)
在没有左心室射血分数降低、持续性缺血或心律失常的稳定型缺血性心脏病患者中停用β受体阻滞剂:一项盲法终点随机试验(ABbreviate)
  • 批准号:
    481560
  • 财政年份:
    2023
  • 资助金额:
    $ 25.95万
  • 项目类别:
    Operating Grants
Our focus for this project is accelerating the development and adoption of resource efficient solutions like fashion rental through technological advancement, addressing longer in use and reuse
我们该项目的重点是通过技术进步加快时装租赁等资源高效解决方案的开发和采用,解决更长的使用和重复使用问题
  • 批准号:
    10075502
  • 财政年份:
    2023
  • 资助金额:
    $ 25.95万
  • 项目类别:
    Grant for R&D
Engage2innovate – Enhancing security solution design, adoption and impact through effective engagement and social innovation (E2i)
Engage2innovate — 通过有效参与和社会创新增强安全解决方案的设计、采用和影响 (E2i)
  • 批准号:
    10089082
  • 财政年份:
    2023
  • 资助金额:
    $ 25.95万
  • 项目类别:
    EU-Funded
Collaborative Research: SCIPE: CyberInfrastructure Professionals InnoVating and brOadening the adoption of advanced Technologies (CI PIVOT)
合作研究:SCIPE:网络基础设施专业人员创新和扩大先进技术的采用 (CI PIVOT)
  • 批准号:
    2321091
  • 财政年份:
    2023
  • 资助金额:
    $ 25.95万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了